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lecture-ai-advanced

Course content for the elective Artificial Intelligence II, focusing on advanced methods and hands-on AI applications.

https://github.com/paul-b98/lecture-ai-advanced

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary

Keywords

ai lecture-notes ml
Last synced: 6 months ago · JSON representation ·

Repository

Course content for the elective Artificial Intelligence II, focusing on advanced methods and hands-on AI applications.

Basic Info
  • Host: GitHub
  • Owner: Paul-B98
  • License: cc0-1.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 39.2 MB
Statistics
  • Stars: 1
  • Watchers: 0
  • Forks: 0
  • Open Issues: 9
  • Releases: 0
Topics
ai lecture-notes ml
Created 8 months ago · Last pushed 8 months ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

Lecture: AI I - Advanced

Course content for the elective Artificial Intelligence II, focusing on advanced methods and hands-on AI applications.

Getting Started

[!NOTE] Use the included dev container to automatically install all the necessary dev tools and dependencies. To use this you first need to install docker under Linux or WSL2 under windows.

  1. Clone the repository: sh git clone https://github.com/Paul-B98/python-project-template.git cd python-project-template

  2. Open the project in Visual Studio Code: sh code .

  3. Reopen in container:

    • Press F1 to open the command palette.
    • Type Remote-Containers: Reopen in Container and select it.
    • VS Code will build the Docker container defined in the .devcontainer folder and open the project inside the container.

Contributing

Conventional Commits

We follow the Conventional Commits specification to maintain a consistent commit history and enable automated tooling for releases and changelogs.

Commit message format:

``` Commit Message Format

(optional scope):

[optional body]

[optional footer(s)] ```

Common Types

  • feat: A new feature
  • fix: A bug fix
  • docs: Documentation only changes
  • style: Changes that do not affect the meaning of the code (formatting, missing semicolons, etc.)
  • refactor: A code change that neither fixes a bug nor adds a feature
  • perf: A code change that improves performance
  • test: Adding or correcting tests
  • chore: Changes to the build process or auxiliary tools
  • infra: infrastructure ch

Documentation

Owner

  • Name: Paul
  • Login: Paul-B98
  • Kind: user
  • Location: Germany

I’m a Software Engineer

Citation (CITATION.cff) 

cff-version: 1.2.0
message: If you use this software, please cite it using these metadata.
title: "Lecture notes on ai and machine learning with python"
authors:
- family-names: "Brauckmann"
  given-names: "Paul"
  orcid: "https://orcid.org/0009-0002-8163-0989"
type: software
version: 1.0.0
date-released: 2025-01-01
license: MIT
url: https://github.com/Paul-B98/lecture-ai-advanced
repository-code: https://github.com/Paul-B98/lecture-ai-advanced
identifiers:
- type: url
  value: https://github.com/Paul-B98/lecture-ai-advanced
keywords:
- python
- artificial intelligence
- machine learning

GitHub Events

Total
  • Issues event: 1
  • Watch event: 1
  • Delete event: 7
  • Issue comment event: 4
  • Push event: 4
  • Pull request event: 22
  • Create event: 12
Last Year
  • Issues event: 1
  • Watch event: 1
  • Delete event: 7
  • Issue comment event: 4
  • Push event: 4
  • Pull request event: 22
  • Create event: 12

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 1
  • Total pull requests: 16
  • Average time to close issues: N/A
  • Average time to close pull requests: 14 days
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.25
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 16
Past Year
  • Issues: 1
  • Pull requests: 16
  • Average time to close issues: N/A
  • Average time to close pull requests: 14 days
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.25
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 16
View more stats
Top Authors
Issue Authors
  • Paul-B98 (1)
Pull Request Authors
  • dependabot[bot] (15)
Top Labels
Issue Labels
Pull Request Labels
dependencies (15) python:uv (15)

Dependencies

.github/workflows/continuous_delivery.yaml actions
  • actions/cache v4 composite
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
.github/workflows/continuous_integration.yml actions
  • actions/cache v4 composite
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • coverallsapp/github-action v2.3.6 composite
.devcontainer/Dockerfile docker
  • python 3.12 build
.devcontainer/docker-compose.yml docker
pyproject.toml pypi
  • datasets >=3.6.0
  • evaluate >=0.4.4
  • jupyterlab >=4.4.3
  • matplotlib >=3.10.0
  • numpy >=2.1.3
  • pandas >=2.3.0
  • scikit-learn >=1.7.0
  • scipy >=1.15.3
  • seaborn >=0.13.2
  • tensorboard >=2.19.0
  • torch >=2.7.1
  • transformers >=4.52.4
  • ydata-profiling >=4.16.1
uv.lock pypi
  • 194 dependencies